Open Source · backend

Use DeepSeek V3 with Flask

Updated 2026-05-21 · By XALEN

How to use DeepSeek V3 (Open Source, 671B (37B active)) with Flask. Install, authenticate, and make your first API call in minutes. Working code example included.

Model

DeepSeek V3

671B (37B active) · 128K context · $0.05 input

Framework

Flask

backend · pip install xalen flask

1. Install

pip install xalen flask

2. Code

from flask import Flask, request, jsonify
from xalen import XALEN

app = Flask(__name__)
client = XALEN(api_key="xln_test_YOUR_KEY")

@app.route("/chat", methods=["POST"])
def chat():
    data = request.json
    response = client.chat.completions.create(
        model="deepseek-v3",
        messages=data["messages"]
    )
    return jsonify({"reply": response.choices[0].message.content})

if __name__ == "__main__":
    app.run()

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Last updated: 2026-05-21